WO2017107921A1 - Procédé de mesure des paramètres cardiovasculaires et respiratoires basés sur la photopléthysmographie à plusieurs longueurs d'onde - Google Patents
Procédé de mesure des paramètres cardiovasculaires et respiratoires basés sur la photopléthysmographie à plusieurs longueurs d'onde Download PDFInfo
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- WO2017107921A1 WO2017107921A1 PCT/CN2016/111298 CN2016111298W WO2017107921A1 WO 2017107921 A1 WO2017107921 A1 WO 2017107921A1 CN 2016111298 W CN2016111298 W CN 2016111298W WO 2017107921 A1 WO2017107921 A1 WO 2017107921A1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/02108—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics
- A61B5/02125—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics of pulse wave propagation time
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/02108—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0062—Arrangements for scanning
- A61B5/0064—Body surface scanning
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
- A61B5/02028—Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
- A61B5/024—Measuring pulse rate or heart rate
- A61B5/0245—Measuring pulse rate or heart rate by using sensing means generating electric signals, i.e. ECG signals
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
- A61B5/1102—Ballistocardiography
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
- A61B2560/02—Operational features
- A61B2560/0223—Operational features of calibration, e.g. protocols for calibrating sensors
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/06—Arrangements of multiple sensors of different types
- A61B2562/066—Arrangements of multiple sensors of different types in a matrix array
Definitions
- This invention relates to methods for measuring cardiovascular and respiratory parameters using a depth-specific photoplethysmography (PPG) signal derived from multi-wavelength PPG.
- PPG depth-specific photoplethysmography
- Photoplethysmography is a simple and low-cost optical technique that can be used to detect blood volume changes in the microvascular bed of tissue and estimate cardiovascular and respiratory parameters.
- a PPG sensor system typically includes a light source and a light detector, and infrared (IR) light emitting diodes (LEDs) are usually used as the light emitting component.
- IR infrared
- LEDs light emitting diodes
- PPG is often used to make non-invasive measurements at the skin surface.
- the accuracy of extracting cardiovascular-and respiratory-related information from the PPG signals is usually not satisfactory due the PPG signal being generated from a single-wavelength light that can only provide the overall blood volume changes along the light penetration path, but not the blood volume changes of a specific layer.
- IR PPG measures the sum total of volume changes in any and all blood vessels (e.g., large and small arteries, arterioles, capillaries, venules, and veins) throughout the skin, while the blood pulsation signal of a specific layer like pure arterial blood volume changes cannot be separated out from the IR PPG signal.
- the inability to distinguish depth of single-wavelength PPG measurements intrinsically degrades the performance for estimating cardiovascular and respiratory parameters, which requires the physiological information of the blood vessels in certain depths.
- Pulse Transit Time is the time it takes the pulse pressure waveform to propagate through a length of the arterial tree, which is a promising method to measure blood pressure (BP) in a continuous and cuff-less manner.
- PTT measurement PPG is commonly used to mark the arrival of the pulse wave at a peripheral site.
- arteries and capillaries are different in blood vessel wall components and blood circulation paths, arterial blood volume waveform and capillary blood volume waveform have different morphologies, as well as a phase shift.
- IR PPG or any other single-wavelength PPG signal is a superposition of various pulse wave functions of blood vessels in different types and depths, thus unable to reflect the pure arterial blood change in the deep layer of the skin. Therefore, PTT cannot be precisely measured with a single wavelength PPG in which the capillary blood pulsations fundamentally weaken PTT’s BP tracking ability.
- Generating a depth-specific PPG signal that can reflect blood pulsation information within a specific tissue has great importance for measuring cardiovascular and respiratory parameters.
- the instant invention provides accurate and effective methods for measuring cardiovascular and respiratory parameters, which can include deriving a depth-specific photoplethysmography (PPG) signal from multi-wavelength PPG signals. Deriving the depth-specific PPG signal can include choosing light wavelength combinations, calibrating a multi-layer light-tissue interaction model referring to a physiological signal like electrocardiography (ECG) , and generating the depth-specific PPG signal from the multi-wavelength PPG signals based on the calibrated light-tissue interaction model. The generated depth-specific PPG signal can replace traditional single-wavelength PPG in various cardiovascular and respiratory applications with fundamentally improved performance.
- the instant invention also provides methods for measuring blood pressure using a depth-specific PPG signal, which is generated from infrared PPG (IR_PPG) and green PPG (G_PPG) to reflect the arterial blood volume pulsation.
- IR_PPG infrared PPG
- G_PPG green PPG
- Figure 1A shows a diagram of an element arrangement of a sensor with multiple LEDs and one light detector, according to an embodiment of the subject invention.
- Figure 1B shows a diagram of an element arrangement of a sensor with multiple LEDs and multiple light detectors, according to an embodiment of the subject invention.
- Figure 2 shows the skin structure and the propagation of multi-wavelength light in the skin.
- Figure 3A shows a two-layer light-tissue interaction model.
- Figure 3B shows a three-layer light-tissue interaction model.
- Figure 4 shows feature extraction for a two-layer model based on ECG, infrared (IR) PPG and Green (G) PPG signals, according to an embodiment of the subject invention.
- Figure 5 shows an example result of blood pressure (BP) and Heart Rate (HR) tacking performance of a two-layer model with varying absorption ratio.
- Figure 6 shows a flowchart of an operation of measuring BP based on ECG and multi-wavelength PPG, according to an embodiment of the subject invention.
- the instant invention provides accurate and effective methods for measuring cardiovascular and respiratory parameters by deriving depth-specific photoplethysmography (PPG) signals from multi-wavelength PPG signals, as well as methods of measuring blood pressure using depth-specific PPG signals that are generated from infrared PPG (IR_PPG) and green PPG (G_PPG) to reflect arterial blood volume pulsation.
- PPG depth-specific photoplethysmography
- the methods of the instant invention provide accurate blood pressure measurements for clinical applications in bedside monitors and ambulatory health monitors.
- the methods of the instant invention provide more accurate measurements of PTT along the arteries as compared to conventional single-wavelength PPG methods.
- depth-specific PPG signal generation can include one or more of the following steps:
- the multi-wavelength PPG sensor can include a light source that emits light of two or more wavelengths, and a light detector.
- the light of different wavelengths penetrates the tissue to different depths depending on the absorption characteristics of the tissue layers, and different amounts of light of each wavelength come out of the tissue and are detected by the light detector.
- the light source is one LED that can emit light in different wavelengths.
- the light source is comprised of multiple small-sized LEDs that are packed closely, each LED emitting light at a different wavelength.
- the light detector comprises one photodetector with a wide wavelength response range whereby a multiplexer is used to separate the PPG signal of each wavelength. In other embodiments, the light detector comprises multiple detectors with high wavelength selectivity whereby multi-wavelength light can illuminate at the same time.
- the multi-wavelength PPG sensor emits multi-wavelength light to the peripheral vasculature in a predetermined body part and measures the intensity of the reflected light of each wavelength.
- the predetermined body part for measurement includes but is not limited to finger, thumb, hand, arm, abdomen, foot, or any body part directly associated with the peripheral vasculature.
- Embodiments of the instant invention provide an algorithm for extracting the depth-specific PPG signals from multi-wavelength PPG signals.
- multi-wavelength light is emitted from the light source, and light of different wavelengths penetrates the tissue to different depths.
- PPG signals generated from the short penetrating light are considered to reflect the blood volume pulsation of the superficial layer of the tissue, while PPG signals generated from deep penetrating light are considered to reflect the blood volume pulsation at a deeper layer of the tissue.
- green or blue light is short penetrating light and red or infrared light is deep penetrating light.
- the methods of the instant invention measure the blood volume pulsation in the deep tissue layers only by removing the superficial blood pulsation from the deep penetration PPG signal.
- the methods are based on the Beer-Lambert’s Law and provide that the depth-specific PPG is derived by dividing the deep-penetrating PPG signal amplitude by the short-penetrating PPG signal amplitude to the power of the absorption ratio (AR) of the two wavelengths.
- methods of the instant invention provide that the AR between different light wavelengths in the algorithm is determined within the value range that generates depth-specific PPG signals with a constant time offset to a preassigned reference physiological signal.
- the reference physiological signal is an electrocardiography (ECG) signal.
- ECG electrocardiography
- the reference physiological signal is the same short wavelength PPG signal that is used to generate the depth-specific PPG signal.
- the reference physiological signal is a ballistocardiography (BCG) signal or an impedance cardiography (ICG) signal.
- a method for cuff-less blood pressure (BP) measurement based on multi-wavelength PPG can include one or more of the following steps:
- the wavelength combination includes short penetrating light that is considered to reflect the blood volume pulsation of the superficial layer of the tissue and deep penetrating light that is considered to reflect the blood volume pulsation at a deeper layer of the tissue;
- the method for cuff-less BP measurement of the instant invention provides an arterial blood PPG signal for PTT calculation that improves PTT’s tracking ability of BP.
- the arterial blood pressure is derived from two wavelengths PPG or three wavelengths PPG according to the accuracy requirement and computing ability of the system.
- the methods of the instant invention have no limitation in the BP estimation model from PTT.
- the relationship between PTT and BP can be linear, nonlinear, or adopt other complicated forms.
- the ECG signal is replaced by other signals (including, but not limited to, short wavelength PPG, BCG signals and ICG signals) as the reference signal in determining AR values and calculating PTT.
- the methods of the instant invention are implemented in various physiological monitoring applications, such as smartwatches, fitness bands, and other wearable devices and bedside monitors.
- a method can be implemented in wearable platforms, including but not limited to an Apple watch, LG Watch Urbane, and/or Motorola Moto 360 smart watch, by adding one light source to the wearable platform.
- the methods of the instant invention provide wider user acceptance compared to other wearable platforms due to improved accuracy based on the use of multi-wavelength PPG signals.
- the realization of the algorithm of the instant invention is more feasible to be implemented in smart wearable devices because it requires less computing power.
- a multi-wavelength PPG sensor probe 10 of the instant invention has a multi-wavelength light emitter 12 and a light detector 22.
- the multi-wavelength light emitter 12 and the light detector 22 are small in size and/or flexible so as to improve the conformity to the skin and comfort for the user.
- the sensor measures PPG signals in reflection mode it can be placed on various body surfaces, such as a fingertip, wrist, thumb, hand, arm, abdomen, foot, earlobe, or any other body part directly associated with the peripheral vasculature.
- the multi-wavelength light emitter 12 of the instant invention includes multiple LEDs, for example, a blue LED 14, an infrared LED 16, a green LED 18, and a yellow LED 20 ( Figure 1) .
- the LEDs are closely packed, thus ensuring they illuminate the same tissue.
- the light detector 22 is a photodiode 24 with a wide spectral responsivity range ( Figure 1A) .
- a method of the instant invention provides sensors to acquire the multi-wavelength PPG signals, wherein the sensors’blue LED 14, infrared LED 16, green LED 18, and yellow LED 20 are turned on such that the mixed signals from the photodiode 24 that contains the reflected light information of different wavelengths are separated into four channels by a demultiplexer.
- the distance D between the light emitter 12 and the light detector 22 is set appropriately to achieve good signal-to-noise ratio.
- the light detector 22 can include multiple light detectors with high selectivity to a certain band of light wavelength.
- the light detector 22 includes a blue light sensitive light detector 24, a red light sensitive light detector 26, a green light sensitive light detector 28, and a yellow light sensitive light detector 30.
- light detectors 24, 26, 28, and 30 generate the PPG signals corresponding to the blue LED 14, red LED 16, green LED 18, and yellow LED 20, respectively, without a multiplexer.
- the light detectors are packed closely to ensure that the PPG signals are measured from the same body part.
- skin has three layers: the epidermis 32, the outmost layer; the dermis 34, the layer under the epidermis 32 that is the connective tissue layer of skin; and the hypodermis 36, the layer underneath the dermis that merges with it and mainly contains adipose tissue.
- the arteries 40 supplying the skin are located deep in the hypodermis 36. Branches of the arteries 40, called arterioles 51, pass upwards to form a deep and a superficial plexus.
- Capillaries 38 are found beneath the epidermis 32, and are linked to the arterioles 51 and venules 52.
- blue light 44, green light 46, yellow light 48, and infrared light 50 emitted from the light emitter 12 propagate within different tissue layers, and the light coming out of the tissue is detected by the light detector 22.
- the penetration depth of blue light 44 may be only about 1.2 mm, while green light 46 penetrates a little deeper than blue light 44.
- the thickness of the epidermis can be about 0.8 mm to about 1.5 mm. Therefore, blue light 44 can only reach the capillaries, and green light 44 can penetrate through the epidermis 32 and reach some of the arterioles 51 in the dermis 34.
- Red light or infrared light 50 with strong penetration ability can go through the whole skin and reach the deep arteries 40 in the hypodermis 36.
- a method of the instant invention provides a two-layer model that extracts pure arterial blood volume, based on the physiological facts of the light-tissue interaction.
- the first layer 54 represents the epidermis as a homogenous layer highly perfused by capillary blood
- the second layer 53 represents the dermis 34 and hypodermis 36 (Figure 2) as a homogenous layer highly perfused by arterial blood ( Figure 3A) .
- light of wavelength ⁇ 2 penetrates the first layer 54 and reaches a portion of the second layer 53, while light of wavelength ⁇ 1 propagates through both layer 54 and layer 53.
- the following parameters in the model are provided:
- V c Volume of capillary blood in the capillary blood layer 54
- V a Volume of arterial blood in the arterial blood layer 53
- ⁇ c1 Molar extinction coefficient of capillary blood in light wavelength ⁇ 1
- ⁇ c2 Molar extinction coefficient of capillary blood in light wavelength ⁇ 2
- ⁇ a1 Molar extinction coefficient of arterial blood in light wavelength ⁇ 1
- ⁇ a2 Molar extinction coefficient of arterial blood in light wavelength ⁇ 2
- the two-layer model based on Beer-Lambert’s Law that relates the attenuation of light to the properties of the material through which the light is traveling, can provide pure arterial blood volume information that is extracted by removing the capillary blood volume information registered by ⁇ 2 PPG from the ⁇ 1 PPG signal.
- the light intensity of light ⁇ 1 and ⁇ 2 coming out from the surface namely the ⁇ 1 PPG amplitude and ⁇ 2 PPG amplitude, are described in Equation 1 and Equation 2.
- the arterial blood volume can be expressed by Equation 3.
- Equation 3 as the terms and - ( ⁇ a1 -k 1 ⁇ a2 ⁇ c1 / ⁇ c2 ) can be treated as constants, the D_PPG signal with amplitude can reflect the pure arterial blood information.
- methods of the instant invention can provide a three-layer model for a more accurate estimation of the arterial blood volume.
- the three-layer model provides an additional homogenous layer representing the superficial tissue 56.
- Light of wavelength ⁇ 3 can penetrate through the tissue layer 56 and a portion of the capillary blood layer 54.
- Other parameters additional to those included in the two-layer model are:
- V t Volume of tissue in the first layer 56
- ⁇ c3 Molar extinction coefficient of capillary blood in light wavelength ⁇ 3
- ⁇ t1 Molar extinction coefficient of tissue in light wavelength ⁇ 1
- ⁇ t2 Molar extinction coefficient of tissue in light wavelength ⁇ 2
- ⁇ t3 Molar extinction coefficient of tissue in light wavelength ⁇ 3
- Equation 4 ⁇ 1 PPG, ⁇ 2 PPG, and ⁇ 3 PPG signals measured at the skin surface
- the arterial blood information can be calculated in Equation 7.
- the D_PPG signal with amplitude can reflect the pure arterial blood information.
- three-layer models of the instant invention consider the influence of three tissue layers, including the superficial tissue, during light propagation, thus providing clearer arterial blood volume information compared to the two-layer models.
- the multi-layer models of the instant invention provide volume change information of a certain layer, namely a depth-specific PPG signal, derived from multi-wavelength PPG signals.
- the multi-layer models of the instant invention provide volume change information of the capillary blood layer.
- the multi-layer models can provide volume change information of the arterial blood layer.
- the depth-specific PPG signals fundamentally improve the performance of PPG-based physiological monitoring applications.
- methods of the instant invention provide the D_PPG from IR_PPG and G_PPG, where D_PPG reflects the arterial blood pulsation.
- the D_PPG shows an improved correlation between PTT and BP.
- the operation of deriving D_PPG from ECG, IR_PPG and G_PPG is based on the two-layer model.
- the D_PPG is derived as the ratio of the IR_PPG amplitude and the G_PPG amplitude to a power of the AR, that is
- the ECG signal is used as a reference to decide the optimal value range of AR.
- the IBI of the D_PPG signal matches the IBI of the ECG to a certain extent if the D_PPG only contains the arterial blood pulsation.
- D_PPG can reflect pure arterial blood pulsation with a range of AR values, the synchrony level between IBI of the ECG and IBI of the D_PPG derived with these AR values will become nearly unchanged.
- the ECG_IBI is defined as the time interval between the R peaks of the ECG, while the IR_IBI, G_IBI and D_IBI are defined as peak intervals of the respective waveforms ( Figure 4) .
- the PTT is defined as the time interval between the R peak of the ECG waveform and the peak of the PPG waveform during the same heart cycle.
- IP_PTT, G_PTT, and D_PTT denote the PTT calculated from IR_PPG, G_PPG, and D_PPG respectively.
- the correlation coefficients between ECG_IBI and D_IBI can be used to determine a AR value range for deriving a D_PPG signal.
- the absolute correlation coefficients between D_PTT and DBP (diastolic blood pressure) ; and D_PTT and SBP (systolic blood pressure) with varying ARs are also shown in Figure 5.
- AR equals zero
- the D_PPG equals IR_PPG.
- the correlation coefficient between ECG_IBI and D_IBI remains nearly unchanged in a certain range of AR value, at the same time, the correlation coefficient between D_PTT and DBP; and D_PTT and SBP will also stay stable in this AR value range.
- the correlation relationship between ECG_IBI and D_IBI stays stable when AR is larger than 2.8. Meanwhile, strong and improved correlation coefficients are observed between D_PTT and DBP; and D_PTT and SBP, respectively, compared to those between IR_PTT and SBP; and IR_PTT and DBP ( Figure 5) .
- the methods of the instant invention use the ECG as reference to indicate the optimal AR value range for D_PPG.
- the ECG signals are replaced by other physiological signals, including, but not limited to, short wavelength PPG, BCG and ICG.
- the BP can be monitored with ECG and multi-wavelength PPG sensors following the operation described in the work flow in Figure 6.
- ECG, G_PPG, and IR_PPG signals can be recorded for multiple heart beats (e.g., 10 heart beats) as ECG0, G_PPG0, and IR_PPG0 (Step 100) .
- the recording period in Step 100 can be adjusted according to the specific application.
- Various D_PPG samples can be generated from IR_PPG0 and G_PPG0 using the relation IR_PPG0/ (G_PPG0 ⁇ AR) with different AR values (Step 102) .
- the correlation coefficients between D_IBI of the D_PPG samples and ECG_IBI of ECG0 can be calculated, and the AR value that generates the D_PPG sample D_PPG0 best correlated with ECG0 in terms of IBI, can be stored as AR0 for deriving workable D_PPG signals in later steps (Step 104) . It can be determined whether the D_PPG values obtained using the procedure of the previous steps gives D_PTT values that fall within an interval that is suitable for BP calibration (Step 106) , wherein the calibration time interval and/or changes in physiological parameters, such as the heart rate exceeding a predetermined threshold, are considered. That is, the judgement condition can be whether the calibration time interval is reached, or whether changes in physiological parameters like heart rate exceed the predetermined thresholds.
- absolute BP values BP0 can be measured with the aid of certain BP measurement devices, and BP0 together with D_PTT0, which is the average D_PTT value calculated from ECG0 and D_PPG0, can be used to generate a calibrated PTT-BP model (Step 108) .
- ECG, IR_PPG, and G_PPG signals can be recorded (e.g., for every 5 heart beats) as ECGn, IR_PPGn and G_PPGn (Step 110) .
- the recording period can be adjusted according to the specific application.
- D_PPGn signals can be generated from IR_PPGn and G_PPGn with AR0, and the average D_PTTn can be calculated from D_PPGn and ECGn.
- the BP can be estimated as BPn from D_PTTn by substituting D_PTTn in the calibrated PTT-BP model. It can be determined whether the calibration interval for AR is reached, wherein the judgment criteria can be a time interval or the threshold for changes of the parameter such as the estimated BP value BPn. In certain embodiments, if the AR calibration condition is not met, Step 110 will be executed to measure BP with the stored AR value AR0 again. In other embodiments, if the AR calibration condition is met, the series of processing steps starting with Step 100 will be repeated to fine-tune the process.
- the process of measuring blood pressure of the instant invention can be modified to adopt different models, different light wavelength combinations, and/or different cardiac signals (e.g., signals other than ECG) .
- the workflow and/or measuring principles can also be modified to measure other cardiovascular and respiratory parameters with multi-wavelength PPG.
- Cardiorespiratory parameters include, but are not limited to, respiration rate, blood pressure, and cardiac rhythm.
- Cardiac disease states include, but are not limited to, heart failure, arrhythmia, coronary artery disease, cardiomyopathy and endocarditis.
- the methods and processes described herein can be embodied as code and/or data.
- the software code and data described herein can be stored on one or more computer-readable media, which may include any device or medium that can store code and/or data for use by a computer system.
- a computer system reads and executes the code and/or data stored on a computer-readable medium, the computer system performs the methods and processes embodied as data structures and code stored within the computer-readable storage medium.
- computer-readable media include removable and non-removable structures/devices that can be used for storage of information, such as computer-readable instructions, data structures, program modules, and other data used by a computing system/environment.
- a computer-readable medium includes, but is not limited to, volatile memory such as random access memories (RAM, DRAM, SRAM) ; and non-volatile memory such as flash memory, various read-only-memories (ROM, PROM, EPROM, EEPROM) , magnetic and ferromagnetic/ferroelectric memories (MRAM, FeRAM) , and magnetic and optical storage devices (hard drives, magnetic tape, CDs, DVDs) ; network devices; or other media now known or later developed that is capable of storing computer-readable information/data.
- volatile memory such as random access memories (RAM, DRAM, SRAM)
- non-volatile memory such as flash memory, various read-only-memories (ROM, PROM, EPROM, EEPROM) , magnetic and ferromagnetic/ferroelectric memories
- Computer-readable media should not be construed or interpreted to include any propagating signals.
- a computer-readable medium of the subject invention can be, for example, a compact disc (CD) , digital video disc (DVD) , flash memory device, volatile memory, or a hard disk drive (HDD) , such as an external HDD or the HDD of a computing device, though embodiments are not limited thereto.
- a computing device can be, for example, a laptop computer, desktop computer, server, cell phone, or tablet, though embodiments are not limited thereto.
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Abstract
L'invention concerne des procédés efficaces et précis permettant de mesurer des paramètres cardiovasculaires et respiratoires. Le procédé permettant de dériver un signal de photopléthysmographie (PPG) spécifique de profondeur à partir de signaux PPG à plusieurs longueurs d'onde consiste à choisir des combinaisons de longueurs d'onde de lumière, à étalonner un modèle d'interaction lumière-tissu multicouche se référant à un signal physiologique, et à générer le signal PPG spécifique de profondeur à partir des signaux PPG à plusieurs longueurs d'onde d'après le modèle d'interaction lumière-tissu étalonné. Le procédé de mesure de la pression sanguine (PS) sans brassard consiste à enregistrer un signal physiologique et des signaux PPG à plusieurs longueurs d'onde d'une partie corporelle prédéterminée, à dériver le signal PPG spécifique de profondeur reflétant le volume de sang artériel avec le signal physiologique comme référence, à calculer le temps de transit des impulsions (PTT) à partir du signal physiologique et du signal PPG du sang artériel dérivé, et à calculer la pression artérielle à partir de la relation PTT étalonné et pression artérielle.
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| CN201680075539.0A CN108778105B (zh) | 2015-12-22 | 2016-12-21 | 基于多波长光电容积描记法测量心血管和呼吸参数的方法 |
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| US201562270971P | 2015-12-22 | 2015-12-22 | |
| US62/270,971 | 2015-12-22 |
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| WO2019184812A1 (fr) | 2018-03-27 | 2019-10-03 | Wong Ming Yip Wallace | Procédé de sélection de l'intensité d'une source de lumière pour surveiller un analyte dans le sang, et dispositif associé |
| US11690520B2 (en) | 2018-06-20 | 2023-07-04 | Samsung Electronics Co., Ltd. | Apparatus and method for measuring bio-information |
| KR102605898B1 (ko) | 2018-07-13 | 2023-11-23 | 삼성전자주식회사 | 생체정보 측정 장치 및 방법 |
| TWI663956B (zh) * | 2018-07-27 | 2019-07-01 | 凱健企業股份有限公司 | 智慧型個人攜帶式之血壓量測系統與血壓校正方法 |
| KR102640331B1 (ko) | 2018-10-19 | 2024-02-26 | 삼성전자주식회사 | 생체정보 추정 장치 및 방법과, 생체정보 추정 지원 장치 |
| WO2020140009A1 (fr) * | 2018-12-28 | 2020-07-02 | Bionous, LLC | Procédés et systèmes de photopléthysmographie multi-dimensionnelle (ppg) |
| EP3923784A4 (fr) * | 2019-02-12 | 2022-12-14 | UDP Labs, Inc. | Systèmes et procédés pour générer des signaux cardiorespiratoires synthétiques |
| US11331017B2 (en) * | 2019-02-13 | 2022-05-17 | Viavi Solutions Inc. | Calibration-free pulse oximetry |
| US11445927B2 (en) * | 2019-02-13 | 2022-09-20 | Viavi Solutions Inc. | Baseline correction and extraction of heartbeat profiles |
| CN111297341A (zh) * | 2020-02-20 | 2020-06-19 | 京东方科技集团股份有限公司 | 一种动态血压检测设备及脉搏波特征提取设备 |
| KR20210155165A (ko) | 2020-06-15 | 2021-12-22 | 삼성전자주식회사 | 웨어러블 기기 및 생체신호 측정 방법 |
| WO2021262552A1 (fr) | 2020-06-22 | 2021-12-30 | Owlet Baby Care Inc. | Dispositif de surveillance |
| KR20220045341A (ko) * | 2020-10-05 | 2022-04-12 | 삼성전자주식회사 | 생체정보 추정 장치 및 방법 |
| US11800986B2 (en) | 2020-12-28 | 2023-10-31 | Industrial Technology Research Institute | Non-pressure continuous blood pressure measuring device and method |
| FI130192B (en) | 2021-03-04 | 2023-04-13 | Turun Yliopisto | Device and method for measuring the flow resistance of blood vessels |
| FI130191B (en) | 2021-03-04 | 2023-04-13 | Turun Yliopisto | Device and method for measuring blood vessel distensibility |
| CN114947779A (zh) * | 2022-03-21 | 2022-08-30 | 中国科学院深圳先进技术研究院 | 基于多波长光容积脉搏波的轻量连续血压测量方法及装置 |
| CN115024702A (zh) * | 2022-06-21 | 2022-09-09 | 香港心脑血管健康工程研究中心有限公司 | 一种基于ppg和ecg的ai增强穿戴式动脉血压图方法和设备 |
| CN115990006B (zh) * | 2022-11-30 | 2025-09-16 | 香港心脑血管健康工程研究中心有限公司 | 一种多光谱血压图成像装置和方法 |
| WO2024174124A1 (fr) * | 2023-02-22 | 2024-08-29 | 南方科技大学 | Méthode et appareil de surveillance de pression artérielle sans contact basés sur des ondes d'impulsion multispectrales |
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Also Published As
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| CN108778105B (zh) | 2022-06-07 |
| US20170172430A1 (en) | 2017-06-22 |
| CN108778105A (zh) | 2018-11-09 |
| US10542894B2 (en) | 2020-01-28 |
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